Triple

T16467110
Position Surface form Disambiguated ID Type / Status
Subject Geoje Island E399961 entity
Predicate hasSettlement P1068 FINISHED
Object Okpo E1095378 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Okpo | Statement: [Geoje Island, hasSettlement, Okpo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okpo
Context triple: [Geoje Island, hasSettlement, Okpo]
  • A. Okpo chosen
    Okpo is a coastal town on Geoje Island in South Korea, known for its major shipbuilding industry and proximity to the Daewoo Shipbuilding & Marine Engineering shipyard.
  • B. Okobo
    Okobo are a subgroup of the Oron people of southeastern Nigeria, known for their distinct language, cultural practices, and coastal riverine settlements in Akwa Ibom State.
  • C. Okeke
    Okeke is a common Igbo surname of Nigerian origin, borne by many individuals across various professions and regions.
  • D. Opoji
    Opoji is a town and traditional community within the Esan ethnic area of Edo State, Nigeria, known for its indigenous customs and local governance structures.
  • E. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcd707081908fb7ca91a8c09e0a completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5914dc81908c3b8cf999ee76a1 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.